leetcode题解Java | 310. Minimum Height Trees
2017-03-19 13:38
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题目:https://leetcode.com/problems/minimum-height-trees/#/description
For a undirected graph with tree characteristics, we can choose any node as the root. The result graph is then a rooted tree. Among all possible rooted trees, those with minimum height are called minimum height trees (MHTs). Given such a graph, write a function
to find all the MHTs and return a list of their root labels.
Format
The graph contains
edge is a pair of labels).
You can assume that no duplicate edges will appear in
Example 1:
Given
return
Example 2:
Given
return
Hint:
How many MHTs can a graph have at most?
Note:
(1) According to the definition of tree on Wikipedia: “a tree is an undirected graph
in which any two vertices are connected by exactly one path. In other words, any connected graph without simple cycles is a tree.”
(2) The height of a rooted tree is the number of edges on the longest downward path between the root and a leaf.
分析:
解法一:用类型拓扑排序的方法,每次删除度为一的节点,最后剩下的(1个或2个节点),就是root
解法二:找最长路径,最长路径的中点就是root。而最长路径的找法是,先DFS,最长路的末端为起点,再做DFS。注意:递归的时候,不要把大数组放进去,容易栈溢出
Java实现:
public class Solution {
List<Integer>[] lists;
public List<Integer> findMinHeightTrees(int n, int[][] edges)
{
lists = new ArrayList
;
for(int i=0; i<n; ++i)
lists[i] = new ArrayList<>();
for(int i=0; i<edges.length; ++i)
{
int v1 = edges[i][0];
int v2 = edges[i][1];
lists[v1].add(v2);
lists[v2].add(v1);
}
List<Integer> ans =
9c7a
new ArrayList<>();
List<Integer> maxList = DFS(0, n, -1);
maxList = DFS(maxList.get(0), n, -1);
int len = maxList.size();
if(len%2==1)
ans.add(maxList.get(len/2));
else
{
ans.add(maxList.get(len/2));
ans.add(maxList.get(len/2-1));
}
return ans;
}
public List<Integer> DFS(int k, int n, int pre)
{
List<Integer> maxList = new ArrayList<>();
for(int i=0; i<lists[k].size(); ++i)
{
int v = lists[k].get(i);
if(v!=pre)
{
List<Integer> tmp = DFS(v, n, k);
if(tmp.size()>maxList.size())
maxList = tmp;
}
}
maxList.add(k);
return maxList;
}
}
For a undirected graph with tree characteristics, we can choose any node as the root. The result graph is then a rooted tree. Among all possible rooted trees, those with minimum height are called minimum height trees (MHTs). Given such a graph, write a function
to find all the MHTs and return a list of their root labels.
Format
The graph contains
nnodes which are labeled from
0to
n - 1. You will be given the number
nand a list of undirected
edges(each
edge is a pair of labels).
You can assume that no duplicate edges will appear in
edges. Since all edges are undirected,
[0, 1]is the same as
[1, 0]and thus will not appear together in
edges.
Example 1:
Given
n = 4,
edges = [[1, 0], [1, 2], [1, 3]]
0 | 1 / \ 2 3
return
[1]
Example 2:
Given
n = 6,
edges = [[0, 3], [1, 3], [2, 3], [4, 3], [5, 4]]
0 1 2 \ | / 3 | 4 | 5
return
[3, 4]
Hint:
How many MHTs can a graph have at most?
Note:
(1) According to the definition of tree on Wikipedia: “a tree is an undirected graph
in which any two vertices are connected by exactly one path. In other words, any connected graph without simple cycles is a tree.”
(2) The height of a rooted tree is the number of edges on the longest downward path between the root and a leaf.
分析:
解法一:用类型拓扑排序的方法,每次删除度为一的节点,最后剩下的(1个或2个节点),就是root
解法二:找最长路径,最长路径的中点就是root。而最长路径的找法是,先DFS,最长路的末端为起点,再做DFS。注意:递归的时候,不要把大数组放进去,容易栈溢出
Java实现:
public class Solution {
List<Integer>[] lists;
public List<Integer> findMinHeightTrees(int n, int[][] edges)
{
lists = new ArrayList
;
for(int i=0; i<n; ++i)
lists[i] = new ArrayList<>();
for(int i=0; i<edges.length; ++i)
{
int v1 = edges[i][0];
int v2 = edges[i][1];
lists[v1].add(v2);
lists[v2].add(v1);
}
List<Integer> ans =
9c7a
new ArrayList<>();
List<Integer> maxList = DFS(0, n, -1);
maxList = DFS(maxList.get(0), n, -1);
int len = maxList.size();
if(len%2==1)
ans.add(maxList.get(len/2));
else
{
ans.add(maxList.get(len/2));
ans.add(maxList.get(len/2-1));
}
return ans;
}
public List<Integer> DFS(int k, int n, int pre)
{
List<Integer> maxList = new ArrayList<>();
for(int i=0; i<lists[k].size(); ++i)
{
int v = lists[k].get(i);
if(v!=pre)
{
List<Integer> tmp = DFS(v, n, k);
if(tmp.size()>maxList.size())
maxList = tmp;
}
}
maxList.add(k);
return maxList;
}
}
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